Valuing driverless commuting – Downtown parking impacts

IF 6.3 2区 工程技术 Q1 ECONOMICS
Fuad Yasin Huda , Graham Currie , Allan Pimenta , Liton (Md) Kamruzzaman
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Abstract

Autonomous vehicles (AVs) are expected to transform travel behaviour and transport planning, with self-parking capabilities being a key advantage. In downtown or central business districts (CBDs), car commuters either pay for parking themselves (self-paid, SP) or have it covered by their employers (employer-paid, EP). However, the extent to which these groups will value their travel time (VOT) and whether they will engage in empty cruising cost to avoid parking costs in an AV era remain unexplored. This study addresses these gaps through an online stated preference survey in Melbourne, Australia, employing a discrete choice experiment and mixed logit modelling. Findings reveal that SP commuters would value travel time at 14.9 $/hr in private AVs, compared to 22.2 $/hr in conventional cars (CARs), while EP commuters’ VOT would be higher, at 24.3 $/hr for private AVs and 28.2 $/hr for CARs. SP commuters will experience a 33 % VOT decrease in AV travel compared to CAR travel, whereas EP commuters will experience a 14 % VOT reduction. These results indicate a significant decline in VOT for AV travel, particularly among SP commuters. The findings provide critical insights for transport practitioners in travel demand forecasting, transport modelling, parking policies and cost-benefit analyses. Policymakers can leverage these insights to assess the potential travel benefits of AV adoption and make informed decisions regarding infrastructure investments to support a sustainable AV future.
评估无人驾驶通勤——市区停车影响
自动驾驶汽车(AVs)有望改变出行行为和交通规划,自动停车功能是一个关键优势。在市中心或中央商务区(cbd),汽车通勤者要么自己支付停车费(自付,SP),要么由雇主支付停车费(雇主支付,EP)。然而,这些群体在多大程度上重视他们的旅行时间(VOT),以及他们是否会为了避免自动驾驶时代的停车成本而承担空巡航成本,这些问题仍未得到探讨。本研究通过在澳大利亚墨尔本进行的在线陈述偏好调查,采用离散选择实验和混合logit模型,解决了这些差距。调查结果显示,SP通勤者对私人自动驾驶汽车的出行时间价值为14.9美元/小时,而传统汽车为22.2美元/小时,而EP通勤者的VOT更高,私人自动驾驶汽车为24.3美元/小时,汽车为28.2美元/小时。与CAR相比,SP通勤者乘坐自动驾驶汽车的VOT将减少33%,而EP通勤者的VOT将减少14%。这些结果表明,自动驾驶汽车出行的VOT显著下降,特别是在SP通勤者中。研究结果为交通从业者在出行需求预测、交通建模、停车政策和成本效益分析方面提供了重要见解。政策制定者可以利用这些见解来评估采用自动驾驶汽车的潜在出行效益,并在基础设施投资方面做出明智的决策,以支持可持续的自动驾驶未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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